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Open to Work ✦ LTM · 2024 – Present

MANAN MITTAL

AWS · Kubernetes · Terraform · Python

Architecting cloud-native solutions on AWS —
scalable, secure, and built for production.

Lambda ✦CloudFormation ✦AWS CDK ✦ Terraform ✦IAM ✦VPC ✦ S3 ✦CloudWatch ✦SQS / SNS ✦ AWS EKS ✦Kubernetes ✦Docker ✦ Helm ✦Prometheus ✦Grafana ✦ GitLab CI/CD ✦Python ✦Apache Kafka ✦ Lambda ✦CloudFormation ✦AWS CDK ✦ Terraform ✦IAM ✦VPC ✦ S3 ✦CloudWatch ✦SQS / SNS ✦ AWS EKS ✦Kubernetes ✦Docker ✦ Helm ✦Prometheus ✦Grafana ✦ GitLab CI/CD ✦Python ✦Apache Kafka ✦
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/ ABOUT
01

Cloud Architecture

Working across Lambda, SQS, VPC, IAM, CloudFormation, and CDK to build production cloud infrastructure — from provisioning to ongoing operations.

02

Infrastructure as Code

Terraform, CloudFormation, AWS CDK — every resource versioned, repeatable, and deployable across environments without manual intervention.

03

Automation & Reliability

CI/CD pipelines, Prometheus, Grafana — shipping fast and staying reliable with observability baked in from the start.

0
Years production experience
0
AWS & cloud certifications
0
Events/day on Kafka pipeline
0
Environments managed (dev/stage/prod)
/ TECH STACK

ARSENAL

AWS Services
Lambda SQS / SNS IAM S3 EC2 / VPC CloudWatch CloudFormation Step Functions ECS
Infrastructure as Code
Terraform CloudFormation AWS CDK GitOps
Container & Orchestration
Kubernetes (EKS) Docker Helm RBAC HPA
Observability
Prometheus Grafana CloudWatch Loki
Programming & Scripting
Python Bash / Shell Scripting
Event Streaming
Apache Kafka Dead-Letter Queues Consumer Groups Offset Management
CI/CD
GitLab CI/CD Jenkins
/ EXPERIENCE

WORK

LTM
Jan 2024
Present
Noida, India
Cloud Engineer / Python Developer
⚙️
CI/CD Automation

Designed fully automated build, test, and deploy pipelines with GitLab CI/CD and Jenkins integrated with Terraform — replaced manual, script-based releases with a single git push workflow.

☸️
Kubernetes Platform Engineering

Built and operated EKS-based microservices infrastructure with Helm GitOps, RBAC, HPA, and rolling deployments — ensuring services stay available during updates and traffic spikes.

📊
Observability & Alerting

Set up Prometheus and Grafana across all services — gave the team real-time visibility into container health and latency, and configured alerts that notify before users notice an issue.

⚡
Event-Driven Architecture

Decoupled tightly coupled services using SQS + Lambda async workflows and a Kafka pipeline processing 10K–50K events/day — eliminated cascading failures under peak load.

🔒
Security & Compliance

Configured Kubernetes RBAC policies and secrets management — enforced least-privilege access per enterprise standards, ensuring developers can deploy without touching production infrastructure directly.

🐍
Python Automation & Config Drift

Wrote Python and Bash tooling for infrastructure provisioning — eliminated config drift between environments and reduced manual operational work, freeing the team for higher-value engineering.

🧩
Reusable Platform Components

Built shared Python modules and Lambda layers used across multiple services — reduced duplication, standardised deployment patterns, and let teams onboard to the platform without rebuilding from scratch.

🚨
Production Incident Response

Diagnosed and resolved live production incidents including pod crashes, pipeline failures, and consumer lag spikes — restored service stability and added monitoring to prevent recurrence.

VIT
2019
2023
B.Tech — Computer Science (AI & ML)

Vellore Institute of Technology · Vellore, India

/ PROJECTS

WORK SHIPPED

01
☸️

Kubernetes-Based Microservices Platform

Designed and operated a production-grade container platform on AWS EKS — solving the real problem of inconsistent, manual deployments that caused environment drift and overnight rollback failures.

AWS EKSHelmGitOpsGitLab CI/CDTerraformHPA
What Was Delivered
✓
Single git push triggers the full pipeline — build, test, push to ECR, and deploy to EKS with zero manual intervention across dev, staging, and production
✓
Zero-downtime rolling deployments replaced manual cutover windows — services stay up during every release regardless of traffic
✓
Every environment config is a versioned Helm chart in Git — any drift is caught immediately and rollback is a single revert commit
✓
Cluster access governed by RBAC policies with least-privilege — developers deploy without touching production infrastructure directly
02
⚡

Real-Time Event Processing Pipeline

Replaced a brittle synchronous API chain with an async Kafka pipeline — solving cascading service failures that were causing production timeouts during peak load.

Apache KafkaPythonAWS SQSLambdaGrafanaDLQ
What Was Delivered
✓
Services fully decoupled — a slow downstream consumer no longer blocks the request chain; each service processes at its own pace via async queues
✓
Pipeline handles 10,000–50,000 events per day across partitioned Kafka topics with consumer groups managing offset tracking and parallelism
✓
Dead-letter queues + idempotent processing ensure no event is lost — failed messages are retried automatically without duplication
✓
Grafana alerts fire on consumer lag thresholds — team knows about processing bottlenecks before they surface as user-facing timeouts
github.com/MananM20
Production DevOps work lives in private enterprise repositories at LTM
View GitHub Profile →
/ AWARDS & ACHIEVEMENTS

RECOGNITION

🌠
🏆 Star Awards

Shooting Star Award

Star Awards · LTM

Company-wide award recognizing exceptional early-career impact — honored for consistently delivering production-grade cloud engineering work well beyond the expectations of a first-year engineer.

⭐
Top Rating

4/4 Star Performance Rating

Annual Review · LTM
★★★★4 / 4

Highest possible rating in the annual performance cycle — awarded for development work and team coordination across cloud and platform projects.

Appreciation From
VP & AVP · LTM

Cloud Migration Project

Received formal appreciation from the Vice President and Assistant Vice President for the successful delivery of an enterprise cloud migration — recognized as a fresher for performing at a level that proved skill and ownership matter more than years of experience.

Appreciation From
Client Architects

AWS Infrastructure & Project Takeover

Commended by the client's architects for the quality and reliability of the AWS infrastructure delivered, and for executing a smooth, well-structured project takeover with zero disruption to ongoing delivery.

/ CREDENTIALS
☁️
AWS Certified Solutions Architect
Associate · SAA-C03 · Amazon Web Services
✓
🍃
MongoDB SI Associate
Associate Level · MongoDB University
✓
🤖
GitHub Copilot Certified
AI-Assisted Development · GitHub
✓
/ CONTACT

Let's Build
Something.

Looking for Cloud Engineer roles where I can architect and build AWS-native solutions at scale. If you're building something ambitious — I'd love to be part of it.

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